Why is it 'better' to use my_dict.keys() over iterating directly over the dictionary? Iteration over a dictionary is clearly documented as yielding keys. It appears you had Python 2 in mind when you answered this, because in Python 3 for key in my_dict.keys() will still have the same problem with changing the dictionary size during iteration.
In Python, the use of an underscore in a function name indicates that the function is intended for internal use and should not be called directly by users. It is a convention used to indicate that the function is "private" and not part of the public API of the module.
In Python 3, generator is the default behavior Not sure if returning a list is still mandatory (or a generator would do as well), but passing a generator to the list constructor, will create a list out of it (and also consume it). The example below illustrates the differences on [Python.Docs]: Built-in functions - map (function, iterable ...
I'm wondering if there's any difference between the code fragment from urllib import request and the fragment import urllib.request or if they are interchangeable. If they are interchangeable, wh...
I have this folder structure: application ├── app │ └── folder │ └── file.py └── app2 └── some_folder └── some_file.py How can I import a function from file.py, from within som...
6 I think it would also be useful to point out Python's collections module that consists of many useful dictionary subclasses and wrappers that simplify the addition and modification of data types in a dictionary, specifically defaultdict: dict subclass that calls a factory function to supply missing values
100 I have different venvs in my machine in which I have Python 3.10. Now for a specific project, I realised that Python 3.10 is not suitable as some libraries are still not compatible. Therefore, when creating a new venv for a new project, I would like to downgrade Python, say to 3.8, only for this specific venv. How can I do that?
